Evaluation of sustainable energy use in sugarcane production: A holistic model from planting to harvest and life cycle assessment by Molood Behnia, Mohammad Ghahderijani, Ali Kaab, Marjan Behnia

“…The analysis compares Artificial Neural Network and Adaptive Neuro-Fuzzy Inference Systems models for predicting energy outputs and environmental effects. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…To facilitate efficient detection at the outbreak of forest fires, a bi-directional gated recurrent neural network (Bi-GRU-NN) is needed. This neural network architecture is capable of processing sequential data from multiple directions, enhancing the system’s ability to predict the spread and intensity of fires. …”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…By employing the CMAC neural network, CMACGSA dynamically learns the masses of particles/agents of GSA, enabling a learning-driven approach to mass computation. …”
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Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

“…The augmented data has been trained, validated, and tested on six machine-learning classifiers and three deep-learning models. The Recurrent Neural Network provided the highest accuracy 0.99 and a recall value 0.98 for the temporalis muscle dataset. …”
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Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm by Qi Guo, Rui Li, Changjiang Zheng, Gwanggil Jeon

“…Subsequently, a graph neural network (GNN) is utilized to optimize nodes and edges computationally. …”
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Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms by Arnold Schumann, Laura Waldo, Perseveranca Mungofa, Chris Oswalt

“…This new 2-page article describes a new smartphone app that uses a trained neural network to identify disease and pest symptoms on citrus leaves through your phone's camera. …”
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Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms by Arnold Schumann, Laura Waldo, Perseveranca Mungofa, Chris Oswalt

“…This new 2-page article describes a new smartphone app that uses a trained neural network to identify disease and pest symptoms on citrus leaves through your phone's camera. …”
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The Control Data Method: A New Method of Modeling in Population Dynamics by Lin-Fei Nie, Zhi-Dong Teng

“…Using a the approximation property and the machine learning approach of artificial neural networks, a tuning algorithm of unknown parameters is obtained and the factual data of predator-prey can be asymptotically stabilized using a neural network controller. …”
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A convergent Deep Learning algorithm for approximation of polynomials by Després, Bruno

“…We start from the contractive functional equation proposed in [4], where it was shown that the polynomial solution of functional equation can be used to initialize a Neural Network structure, with a controlled accuracy. …”
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Real-Time Visualization Optimization Management Simulation of Big Data Stream on Industrial Heritage Cloud Platform by Mengya Gao

“…The big data prediction model of the GRU neural network based on a spark distributed framework is constructed to realize the prediction of industrial genetic data. …”
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Application of big data technology in agricultural Internet of Things by Chunling Zhang, Zunfeng Liu

“…The Web Service technology is used to connect the Internet of Things with the neural network model to achieve data interoperability. …”
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Evaluation and Analysis of Multimedia Collaborative Building Design Relying on Particle Swarm Optimization Algorithm by Tao Yang

“…It also proposes the import of “with tutor” type data of particle swarm optimization algorithm as well as the self-organizing neural network evaluation model and calculation method of “no tutor” type resource import. …”
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Price Forecasting Through Multivariate Spectral Analysis: Evidence for Commodities of BM&Fbovespa by Carlos Alberto Orge Pinheiro, Valter de Senna

“…ABSTRACT This study aimed to forecast the prices of a group of commodities through the multivariate spectral analysis model and compare them with those obtained by classical forecasting and neural network models. The choice of commodities such as ethanol, cattle, corn, coffee and soy was due to the emphasis in the exports in 2013. …”
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Emotional State Analysis Model of Humanoid Robot in Human-Computer Interaction Process by Boxin Peng

“…In view of the shortcomings of traditional methods, this study designed an emotion analysis model based on deep neural network to detect the emotion of interactive objects and built an open-domain dialogue system of humanoid robot. …”
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Combined Diagnosis of PD Based on the Multidimensional Parameters by Mohammad Heidari

“…Diagnose signals are found with the method based on information fusion and semisupervised learning for HFC PD, adaptive mutation parameters of particle entropy for ultrasonic signals, and IIA-ART2A neural network for UHF signals. In addition, integrate the diagnostic results, which are the probability of fault of various defects and matrix, of different PD diagnosis signals, and analysis with Sugeno fuzzy integral to get the final diagnosis.…”
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Pendeteksi Citra Masker Wajah Menggunakan CNN dan Transfer Learning by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…Computer vision merupakan salah satu cabang ilmu komputer yang dapat digunakan untuk klasifikasi citra. Convolutional Neural Network (CNN) merupakan algoritma deep learning yang memiliki performa bagus dalam klasifikasi citra. …”
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Sistem Identifikasi Kesehatan Pencernaan Berdasar Suara Usus Menggunakan Embedded System by Ryzaldi Ananda Fabiana, Barlian Henryranu Prasetio, Eko Setiawan, Syahrul Chilmi, Edita Rosana Widasari

“…Sedangkan Convolutional Neural Network dengan model tensor flow digunakan sebagai metode klasifikasi dan MFCC teknik ekstraksi fiturnya. …”
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Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources by Md Tariqul Islam, M. Jahangir Hossain, Md. Ahasan Habib, Muhammad Ahsan Zamee

“…This study introduces a Sensitivity-Enhanced Recurrent Neural Network (SERNN) model, featuring a sensitivity gate within the neural network’s memory cell architecture to enhance responsiveness to time-varying variables. …”
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Plant Detection in RGB Images from Unmanned Aerial Vehicles Using Segmentation by Deep Learning and an Impact of Model Accuracy on Downstream Analysis by Mikhail V. Kozhekin, Mikhail A. Genaev, Evgenii G. Komyshev, Zakhar A. Zavyalov, Dmitry A. Afonnikov

“…In the present work, a method is presented for detecting the plants of five species in images acquired via a UAV on the basis of image segmentation by deep learning algorithms (convolutional neural networks). Twelve orthomosaics were collected and marked at several sites in Russia to train and test the neural network algorithms. …”
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Comparison of Deep-Learning-Based Segmentation Models: Using Top View Person Images by Imran Ahmed, Misbah Ahmad, Fakhri Alam Khan, Muhammad Asif

“…The encoder consists of trained Convolutional Neural Network (CNN) to encode feature maps of the input image. …”
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